Separation of geochemical anomalies from the sample data of unknown distribution population using Gaussian mixture model

[1]  L. Simms,et al.  Pulse discrimination with a Gaussian mixture model on an FPGA , 2018, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

[2]  Y. Chen,et al.  Mapping mineral prospectivity by using one-class support vector machine to identify multivariate geological anomalies from digital geological survey data , 2017 .

[3]  Yongliang Chen,et al.  Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data , 2017, Geochemistry: Exploration, Environment, Analysis.

[4]  Yongliang Chen,et al.  Mapping mineral prospectivity using an extreme learning machine regression , 2017 .

[5]  Chun-An Chou,et al.  A Gaussian mixture model based discretization algorithm for associative classification of medical data , 2016, Expert Syst. Appl..

[6]  Yongliang Chen,et al.  A prospecting cost-benefit strategy for mineral potential mapping based on ROC curve analysis , 2016 .

[7]  Roy E. Welsch,et al.  Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring , 2016 .

[8]  Yongliang Chen.  Mineral potential mapping with a restricted Boltzmann machine , 2015 .

[9]  Mario Fernando Montenegro Campos,et al.  Novelty detection and segmentation based on Gaussian mixture models: A case study in 3D robotic laser mapping , 2013, Robotics Auton. Syst..

[10]  Zhang Da-wei.  GEOLOGIC CHARACTERISTICS,ORE-CONTROLLING FACTORS AND PROSPECTS OF THE GAOLIGOU GOLD DEPOSIT IN JILIN PROVINCE , 2011 .

[11]  Wang Yu-fen.  Geological characteristics and genesis of Huanggoushan and Banmiaozi gold deposits in Laoling metallogenic belt of southern Jilin , 2010 .

[12]  Wang Xing-chang.  GEOLOGY AND GENESIS OF THE JINYING GOLD DEPOSIT IN JILIN PROVINCE , 2009 .

[13]  Kwok-Wing Chau,et al.  A new image thresholding method based on Gaussian mixture model , 2008, Appl. Math. Comput..

[14]  Tae Jin Kang,et al.  Texture classification and segmentation using wavelet packet frame and Gaussian mixture model , 2007, Pattern Recognit..

[15]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[16]  Qu Hong.  THE MAIN CHARACTERISTICS OF YALUJIANG FAULT ZONE AND ITS SINGNIFICANCE , 2006 .

[17]  S. Wilde,et al.  Nature and significance of the Early Cretaceous giant igneous event in eastern China , 2005 .

[18]  Yang Yan.  DAHENGLU TYPE OF COBALT DEPOSIT IN LAOLING AREA,JILIN PROVINCEA SEDEX DEPOSIT WITH LATE REFORMATION , 2001 .

[19]  D. V. Dyk,et al.  Fitting Mixed-Effects Models Using Efficient EM-Type Algorithms , 2000 .

[20]  R. Bergmann,et al.  Different Outcomes of the Wilcoxon—Mann—Whitney Test from Different Statistics Packages , 2000 .

[21]  Liu Wei.  CHARACTERISTICS AND GEOLOGICAL BACKGROUND OF FORMATION OF THE LARGE AND GIANT ORE DEPOSITS WITHIN THE NORTHERN MARGIN OF THE NORTH CHINA PLATFORM , 2000 .

[22]  Xie Xuejing,et al.  Geochemical mapping in China , 1997 .

[23]  D. Bates,et al.  Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data , 1988 .

[24]  New York Dover,et al.  ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM , 1983 .

[25]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .